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Logistic modelling of smallholder livestock farmers’ adoption of tree-based fodder technology in Zimbabwe

Author

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  • Jera, R.
  • Ajayi, Olu Clifford

Abstract

Based on field data collected from 131 small scale dairy farmers that were randomly selected from four agro-ecological zones, this study assessed the potential of adoption of fodder bank technology as a means for improving livestock production and income generation for smallholder farmers in Zimbabwe. Using a logit modelling approach, it also identified the drivers of adoption of the technology by analysing the influence of household characteristics and ecological factors on farmers’ decision to adopt the technology. The model correctly predicted 75% of observed adoption and non-adoption by farmers. Results reveal that dairy herd size, land holding size, membership of dairy association and agro-ecological potential are the key factors influencing farmers’ adoption of fodder bank. Age, sex, household size and educational level of farmers play lesser role. Male and female farmers were equally likely to take up and practice fodder bank if they are given equal access to information and incentives. The study recommends farmer-led extension approaches where farmers who possess certain key characteristics should constitute the initial group for disseminating information regarding the technology in rural communities. The results highlight the importance of access to dairy product markets as a driver for the adoption of fodder banks. It is recommended that forging a strategic partnership with the Dairy Development Programme (DDP) will offer high potential for enhancing the scaling up of the adoption and impact of fodder bank technology in the country.

Suggested Citation

  • Jera, R. & Ajayi, Olu Clifford, 2008. "Logistic modelling of smallholder livestock farmers’ adoption of tree-based fodder technology in Zimbabwe," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 47(3), September.
  • Handle: RePEc:ags:agreko:44033
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    File URL: http://purl.umn.edu/44033
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    References listed on IDEAS

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    3. Zeljko Bogetic & Johannes Fedderke, 2005. "Infrastructure and Growth in South Africa: Benchmarking, Productivity and Investment Needs, paper presented at Economic Society of South Africa (ESSA) Conference, Durban, 9/7-9/2005," Public Economics 0510006, EconWPA.
    4. Fan, Shenggen & Zhang, Xiaobo, 2004. "Infrastructure and regional economic development in rural China," China Economic Review, Elsevier, vol. 15(2), pages 203-214.
    5. Demurger, Sylvie, 2001. "Infrastructure Development and Economic Growth: An Explanation for Regional Disparities in China?," Journal of Comparative Economics, Elsevier, vol. 29(1), pages 95-117, March.
    6. Kamara, Abdul B., 2004. "The impact of market access on input use and agricultural productivity: Evidence from Machakos District, Kenya," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 43(2), June.
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    Cited by:

    1. Soto, Iria & Achten, Wouter M.J. & Muys, Bart & Mathijs, Erik, 2015. "Who benefits from energy policy incentives? The case of jatropha adoption by smallholders in Mexico," Energy Policy, Elsevier, vol. 79(C), pages 37-47.
    2. Ayuya, Oscar Ingasia, 2010. "Evaluation Of Willingness To Accept And Adopt Clean Development Mechanism Projects Among Smallscale Farmers In Njoro District, Kenya," Research Theses 117799, Collaborative Masters Program in Agricultural and Applied Economics.
    3. Mofokeng, Maine & Vink, Nick, 2013. "Factors Affecting the Hedging Decision of Maize Farmers in Gauteng Province," 2013 AAAE Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161465, African Association of Agricultural Economists (AAAE).
    4. Kinuthia, Emmanuel K., 2010. "The Effects Of The International Smallgroup And Tree Planting Program On Household Income In Nyeri District, Kenya," Research Theses 117709, Collaborative Masters Program in Agricultural and Applied Economics.
    5. Birhanu, Mulugeta Yitayih & Girma, Anteneh & Puskur, Ranjitha, 2017. "Determinants of success and intensity of livestock feed technologies use in Ethiopia: Evidence from a positive deviance perspective," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 15-25.

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